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Oxford Instruments
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Image Search Results
Journal: Frontiers in Neuroscience
Article Title: Group-level component analyses of EEG: validation and evaluation
doi: 10.3389/fnins.2015.00254
Figure Lengend Snippet: Basic concepts of group analyses using temporal concatenation and multilevel decomposition in combination with ICA or SOBI . For temporal concatenation, data aggregation yields a horizontally elongated matrix on which the demixing matrix W can be estimated, assuming the same mixing process for all subjects. This, however, is not the case with multilevel decomposition since single-subject as well as group-level decomposition prior to ICA/SOBI not only reduce the number of variables, but also allow for some variability of the latent structure across subjects. Note that usually only a subset of the c*n vertically concatenated components (c = number of channels/components, n = number of subjects) enter final decomposition via ICA or SOBI.
Article Snippet: Notable exceptions are the implementation of
Techniques:
Journal: PLOS Computational Biology
Article Title: NRV: An open framework for in silico evaluation of peripheral nerve electrical stimulation strategies
doi: 10.1371/journal.pcbi.1011826
Figure Lengend Snippet: Footprints and activation thresholds are evaluated using the FEniCS solver (orange line) and COMSOL Multiphysics (dashed blue line) with a LIFE ((a) and (c)) and a cuff-like electrode ((b) and (d)). The relative difference in electrode footprint estimation is plotted in a red dotted line. The nerve and the fascicle are 1000 μm and 800 μm in diameter respectively. The fascicle is surrounded by a 25 μm thick layer of perineurium, which corresponds to about 3% of the fascicle diameter . The nerve is plunged in a 10 mm large saline bath (not represented). The fascicle is made of anisotropic bulk endoneurium ( σ x = 0.57 S / m , σ y = 0.085 S / m ) and epineurium ( σ = 0.085 S / m ). Perineurium and saline conductivity are set to σ = 0.002/ m and σ = 2 S / m respectively [ , ].
Article Snippet: ASCENT and ViNERS are open-source but require closed-source and commercially licensed software to run: ViNERS is based on MATLAB, and
Techniques: Activation Assay, Saline